Characteristics of personal health records: findings of the Medical Library Association/National Library of Medicine Joint Electronic Personal Health Record Task Force
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OBJECTIVES: The Medical Library Association (MLA)/National Library of Medicine (NLM) Joint Electronic Personal Health Record Task Force examined the current state of personal health records (PHRs). METHODS: A working definition of PHRs was formulated, and a database was built with fields for specified PHR characteristics. PHRs were identified and listed. Each task force member was assigned a portion of the list for data gathering. Findings were recorded in the database. RESULTS: Of the 117 PHRs identified, 91 were viable. Almost half were standalone products. A number used national standards for nomenclature and/or record structure. Less than half were mobile device enabled. Some were publicly available, and others were offered only to enrollees of particular health plans or employees at particular institutions. A few were targeted to special health conditions. CONCLUSIONS: The PHR field is very dynamic. While most PHR products have some common elements, their features can vary. PHRs can link their users with librarians and information resources. MLA and NLM have taken an active role in making this connection and in encouraging librarians to assume this assistance role with PHRs.
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Existing studies in emergency access for PHR without blockchain are the traditional system, and some studies based on blockchain do not address access to PHR in an emergency condition.
“These existing studies in emergency access for PHR without blockchain are the traditional system, and also there are some studies based on blockchain but not access to PHR in an emergency condition.”
From EACMS: Emergency Access Control Management System for Personal Health Record Based on Blockchain (2019) · cites this paper as [39]
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- Authors
- Jones, D. A., Shipman, J. P., Plaut, D. A., & Selden, C. R.
- Affiliations
- Louisiana State University Health Sciences Center Shreveport (US)
- Kaiser Permanente (US)
- National Institutes of Health (US)
- ORCID
- Shipman, Jean P
- Venue
- Journal of the Medical Library Association : JMLA
- Published
- 2010-07
- Volume
- 98
- Issue
- 3
- Pages
- 243-249
- ISSN
- 1536-5050 (ISSN-L)
- 1558-9439
- PMC
- PMC2900995
- OpenAlex
- W1986298963
- Cited by
- 101
- References
- 8
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- FWCI
- 16.13
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of the Medical Library Association JMLA (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Library Association
- Vanderbilt University
- Vanderbilt University Medical Center
- U.S. National Library of Medicine
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Physical Sciences › Computer Science › Information Systems › Web and Library Services
- Keywords
- personal health records, electronic health records, nomenclature standards, mobile health, health plan enrollees, Medical Library Association, National Library of Medicine
- MeSH terms
- Confidentiality, Humans, Libraries, Medical, Library Associations, National Library of Medicine (U.S.), United States, Medical Records Systems, Computerized, Program Development, Health Insurance Portability and Accountability Act, Professional Role, Consumer Health Information, Electronic Health Records
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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